Our results show that our approach is closest to MDSI [1]}, as compared to RVSIM [2]}, GSMD [3]}, SRSIM [4]}, FSIMc [5]} that perform slightly below our model. An SRCC plot representation in Figure 5 depicts the rank correlation performance for both FairFace and CelebA dataset. The values confirm that our model performs favourably over other aforementioned techniques. At different iteration values, we also observed decent image quality improvements at about 20k - 30k iterations as shown in Figure 6(b) for the FairFace dataset. Figures 7 and 8 show further results obtained from a combination of different loss functions and other competitive models, respectively.
